Use Cases
Wherever the board’s ambition lands, the proof starts here.
From agentic AI to AML to core modernisation, every initiative hits the same wall: you can’t safely test it in production. NayaOne is the one environment where each of these gets evaluated, validated and evidenced, the same way, every time.
AI & Agentic AI
Evaluate Claude, OpenAI, Gemini and more on identical data, then ship agents from POC to production with the evidence governance needs.
Explore AI →
Digital Assets
Tokenisation, stablecoins, custody and on-chain analytics, proven on synthetic on-chain data with no live-ledger risk.
Explore digital assets →
Synthetic Data
Deliberately messy, representative datasets so every initiative is tested against reality, not a demo.
Explore synthetic data →
Gemini Enterprise
See what Gemini Enterprise agents actually do, on synthetic data, before they touch a production system.
Evaluate agents →
Quantum & Post-Quantum
Discover cryptographic exposure and migrate to quantum-safe algorithms in an air-gapped test lab.
See the lab →
🔐
Cybersecurity
Benchmark security tooling and stand up post-quantum test labs to build expertise before the threat becomes urgent.
Explore →
⚖
BSA / AML
Test sanctions screening, transaction monitoring and KYC against labelled synthetic patterns before you commit.
Explore →
⚠
Fraud & Risk
Train and bake off fraud-detection models on representative, labelled fraud data, no real records exposed.
Explore →
📄
Claims & Underwriting
Automate claims handling, document intelligence and decisioning, validated on synthetic claims and statements.
Explore →
🏢
Commercial & Lending
Prove origination, onboarding and SME lending journeys on synthetic applications before rollout.
Explore →
⚙
Core Modernisation
De-risk legacy and core migration by testing interfaces and integrations in an isolated, representative environment.
Explore →
Don’t see yours? It probably runs here too.
If it involves external technology, sensitive data and a decision you need to evidence, it’s a NayaOne use case.